System for optimizing batch job dependencies

Abstract

A computer system for optimizing dependencies of batch jobs includes a scheduling server and a computer terminal. The scheduling server schedules an execution order of batch jobs on at least one batch server. The computer terminal receives a user input and queries the scheduling server for precedent batch jobs of a target batch job. The viewing application receives a query result from the scheduling server and depicts, on an electronic display, a dependency tree that includes one or more precedent batch jobs and the target batch job. The viewing application further depicts a critical path that includes critical precedent batch jobs that process data required by the target batch job. The viewing application provides for optimizations that optimize the execution order of the batch jobs such that the target batch job finishes executing earlier than the target batch job would have finished executing without the one or more optimizations.

Description

FIELD OF THE INVENTION[0001]The present invention relates to the processing batch jobs.BACKGROUND OF THE INVENTION[0002]Many individual investors, businesses and organizations rely on financial data sets to make sound investment decisions. Additionally, businesses and organizations require financial data captured at or after the close of the previous trading day to be compiled into financial data sets prior to the opening of the present trading day. Specifically, many people within a business or organization, such as accountants, traders and financial advisors, depend on receiving certain financial data sets by a certain time in order to perform their jobs. For example, a business or organization may have an employee who manages an investment fund and needs to formulate trading strategies prior to the opening of the trading day. In order to make optimum financial transactions, the employee needs to review, prior to the start of the present trading day, financial data sets detailing ...

AI Technical Summary

Problems solved by technology

Thus, there is often a very short time period to collect relevant financial data and to compile the financial data sets relied upon by a business or organization.

The more interdependencies that exist among the various computer applications, the harder it becomes to track, manage and efficiently schedule the execution of the various computer applications (the “execution order”).

Accordingly, a business or organization producing / compiling a financial data set by using various computer applications having a large number of interdependencies may miss opportunities to optimize / tune the execution order.

Moreover, a business or organization producing / compiling a financial data set by using various computer applications having a large number of interdependencies may be unaware that a computer application will fail to process data necessary to produce / compile the financial data set within a time period sufficient to maintain the timeliness of the financial data set.

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